Browsing Engineering (Faculty of) by Subject "machine learning"
Now showing items 1-20 of 55
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Adaptive Streaming: From Bitrate Maximization to Rate-Distortion Optimization
(University of Waterloo, 2021-09-30)The fundamental conflict between the increasing consumer demand for better Quality-of-Experience (QoE) and the limited supply of network resources has become significant challenges to modern video delivery systems. Stat ... -
Automatic Identification of Algae using Low-cost Multispectral Fluorescence Digital Microscopy, Hierarchical Classification & Deep Learning
(University of Waterloo, 2019-12-05)Harmful algae blooms (HABs) can produce lethal toxins and are a rising global concern. In response to this threat, many organizations are monitoring algae populations to determine if a water body might be contaminated. ... -
Biologically Inspired Spatial Representation
(University of Waterloo, 2020-10-08)In this thesis I explore a biologically inspired method of encoding continuous space within a population of neurons. This method provides an extension to the Semantic Pointer Architecture (SPA) to encompass Semantic Pointers ... -
CDCL(Crypto) and Machine Learning based SAT Solvers for Cryptanalysis
(University of Waterloo, 2020-05-15)Over the last two decades, we have seen a dramatic improvement in the efficiency of conflict-driven clause-learning Boolean satisfiability (CDCL SAT) solvers over industrial problems from a variety of applications such as ... -
Data Driven Modelling and Optimization of MEA Absorption Process for CO2 Capture
(University of Waterloo, 2020-05-27)Global warming is a rising issue and there are many research studies aiming to reduce greenhouse gas emissions. Carbon capture and storage technologies improved throughout the years to contribute as a solution to this ... -
Data Reduction Algorithms in Machine Learning and Data Science
(University of Waterloo, 2021-02-19)Raw data are usually required to be pre-processed for better representation or discrimination of classes. This pre-processing can be done by data reduction, i.e., either reduction in dimensionality or numerosity (cardinality). ... -
Decentralized Data Acquisition Pipeline with Machine Learning For Side-Channel Information
(University of Waterloo, 2021-09-17)Technological advancements and the COVID-19 pandemic caused an increase in the adoption of technologies, services, and computers. Public cloud services surged with a 17\% increase, and adoption of software services such ... -
Deep Learning Based Approaches for Imputation of Time Series Models
(University of Waterloo, 2020-12-16)Market price forecasting models for Fresh Produce (FP) are crucial to protect retailers and consumers from highly priced FP. However, utilizing the data for forecasting is obstructed by the occurrence of missing values. ... -
Deep Reinforcement Learning Models for Real-Time Traffic Signal Optimization with Big Traffic Data
(University of Waterloo, 2021-05-19)One of the most significant changes that the globe has faced in recent years is the changes brought about by the COVID19 pandemic. While this research was started before the pandemic began, the pandemic has exposed the ... -
Detection and Prediction of Freezing of Gait in Parkinson’s Disease using Wearable Sensors and Machine Learning
(University of Waterloo, 2021-10-12)Freezing of gait (FOG), is a brief episodic absence of forward body progression despite the intention to walk. Appearing mostly in mid-late stage Parkinson’s disease (PD), freezing manifests as a sudden loss of lower-limb ... -
Development of a machine learning-based model to autonomously estimate web page credibility
(University of Waterloo, 2020-09-02)There is a broad range of information available on the Internet, some of which is considered to be more credible than others. People consider different credibility aspects while evaluating the credibility of a web page, ... -
Development of Machine Learning Based Analytical Tools for Pavement Performance Assessment and Crack Detection
(University of Waterloo, 2019-08-19)Pavement Management System (PMS) analytical tools mainly consist of pavement condition investigation and evaluation tools, pavement condition rating and assessment tools, pavement performance prediction tools, treatment ... -
Driving Manoeuvre Recognition using Mobile Sensors
(University of Waterloo, 2016-08-31)Automobiles are integral in today's society as they are used for transportation, commerce, and public services. The ubiquity of automotive transportation creates a demand for active safety technologies for the consumer. ... -
Efficient Multi-Objective Optimization of an Automotive Crush Rail Under Axial and Oblique Impact
(University of Waterloo, 2021-04-30)Oblique impact conditions are of increasing research importance, and this kind of study is becoming more common in the crashworthiness literature. Optimization strategies, such as the Response Surface Methodology (RSM), ... -
Evaluation of Accelerometer-Based Walking-Turn Features for Fall-Risk Assessment in Older Adults
(University of Waterloo, 2017-05-17)Falls in older adult populations are a serious health concern, resulting in physical and psychological trauma in addition to increased pressure on healthcare systems. Faller classification and fall risk assessment in elderly ... -
Financial Fraud Detection and Data Mining of Imbalanced Databases using State Space Machine Learning
(University of Waterloo, 2016-01-04)Risky decisions made by humans exhibit characteristics common to each decision. The related systems experience repeated abuse by risky humans and their actions collude to form a systemic behavioural set. Financial fraud ... -
Finding Patterns in Static Analysis Alerts: Improving Actionable Alert Ranking
(University of Waterloo, 2014-09-02)Static analysis (SA) tools that find bugs by inferring programmer beliefs (e.g., FindBugs) are commonplace in today’s software industry. While they find a large number of actual defects, they are often plagued by high rates ... -
Fingerprint-based indoor positioning and intensity classification using an improved machine learning framework
(University of Waterloo, 2021-10-21)Covid-19 has changed the world in terms of business, public, and many other fields. Millions of livelihoods have been affected by the pandemic. Amidst the upheaval, work from home and restrictions on indoor gatherings have ... -
Highly Efficient Deep Intelligence via Multi-Parent Evolutionary Synthesis of Deep Neural Networks
(University of Waterloo, 2020-02-11)Machine learning methods, and particularly deep neural networks, are a rapidly growing field and are currently being employed in domains such as science, business, and government. However, the significant success of neural ... -
Histopathology Image Analysis and NLP for Digital Pathology
(University of Waterloo, 2021-08-27)Information technologies based on ML with quantitative imaging and texts are playing an essential role, particularly in general medicine and oncology. DL in particular has demonstrated significant breakthroughs in Computer ...